Biomarkers in nutritional epidemiology: applications, needs and new horizons
Abstract
Modern epidemiology suggests a potential interactive association between diet, lifestyle, genetics and the risk of many chronic diseases. As such, many epidemiologic studies attempt to consider assessment of dietary intake alongside genetic measures and other variables of interest. However, given the multi-factorial complexities of dietary exposures, all dietary intake assessment methods are associated with measurement errors which affect dietary estimates and may obscure disease risk associations. For this reason, dietary biomarkers measured in biological specimens are being increasingly used as additional or substitute estimates of dietary intake and nutrient status. Genetic variation may influence dietary intake and nutrient metabolism and may affect the utility of a dietary biomarker to properly reflect dietary exposures. Although there are many functional dietary biomarkers that, if utilized appropriately, can be very informative, a better understanding of the interactions between diet and genes as potentially determining factors in the validity, application and interpretation of dietary biomarkers is necessary. It is the aim of this review to highlight how some important biomarkers are being applied in nutrition epidemiology and to address some associated questions and limitations. This review also emphasizes the need to identify new dietary biomarkers and highlights the emerging field of nutritional metabonomics as an analytical method to assess metabolic profiles as measures of dietary exposures and indicators of dietary patterns, dietary changes or effectiveness of dietary interventions. The review will also touch upon new statistical methodologies for the combination of dietary questionnaire and biomarker data for disease risk assessment. It is clear that dietary biomarkers require much further research in order to be better applied and interpreted. Future priorities should be to integrate high quality dietary intake information, measurements of dietary biomarkers, metabolic profiles of specific dietary patterns, genetics and novel statistical methodology in order to provide important new insights into gene-diet-lifestyle-disease risk associations.
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In clinical practice, biochemical procedures are used to diagnose nutritional deficiencies, evaluate the response to dietary interventions, and monitor health status in individuals with chronic or acute conditions.
“In clinical practice, these procedures are used to diagnose nutritional deficiencies, evaluate the response to dietary interventions, and monitor health status in individuals with chronic or acute conditions.”
From The Seven Methods for the Evaluation of Nutritional Status—ABCDEFG: Narrative Review (2026) · cites this paper as [26]
Dietary biomarkers have been used as more objective measures of dietary exposure in nutritional epidemiology.
“The application of dietary biomarkers as more objective measures of dietary exposure in nutritional epidemiology has been particularly significant (13).”
From The food metabolome: a window over dietary exposure (2014) · cites this paper as [13]
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- Authors
- Jenab, M., Slimani, N., Bictash, M., Ferrari, P., & Bingham, S. A.
- Affiliations
- Centre international de recherche sur le cancer (FR)
- Imperial College London (GB)
- European Food Safety Authority (IT)
- University of Cambridge (GB)
- Corresponding author
- Jenab, Mazda
- Venue
- Human Genetics
- Published
- 2009-04-09
- Volume
- 125
- Issue
- 5-6
- Pages
- 507-525
- ISSN
- 0018-7348 (ISSN-L)
- 0340-6717
- 1432-1203
- OpenAlex
- W2032872692
- Cited by
- 448
- References
- 186
- Citations by year
- 2026: 12 · 2025: 15 · 2024: 13 · 2023: 25 · 2022: 12 · 2021: 31 · 2020: 35 · 2019: 31 · 2018: 40 · 2017: 34 · 2016: 27 · 2015: 35 · 2014: 25 · 2013: 25 · 2012: 33
- FWCI
- 2.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Human Genetics (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Keywords
- dietary biomarkers, nutritional epidemiology, dietary assessment, measurement error, genetic variation, gene-diet interaction, metabolic profile, dietary habits, dietary intervention, dietary questionnaire, disease risk assessment, nutrient status
- MeSH terms
- Diet, Humans, Nutritional Physiological Phenomena, Biomarkers, Molecular Epidemiology, Risk Assessment, Metabolomics, Metabolome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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